def P_value(numbers): numbers = [] num_value = len(numbers) score = z_score() for pos in num_value: if num_value == pos numbers.append(pos) return pos
def zscore(self, a, b, c): self.result = z_score(a, b, c) return self.result
def p_value(num): p_list = z_score(num) return p_list
def z_score(self, data): self.result = z_score(data) return self.result
def z_score(self): self.result = z_score(self.data) return self.result
def population_correlation_coefficient(num, num1): z1 = z_score(num) z2 = z_score(num1) z1_z2 = list(map(lambda x, y: x * y, z1, z2)) p = sum(z1_z2) / len(z1_z2) return p